726 to 750 of 1,264 Containerisation Jobs in England

tools like Storybook, Material UI, or Tailwind CSS. Understanding of SSR (Server‐Side Rendering) and SSG frameworks like Next.js or Angular Universal. Familiarity with containerization (Docker) and hosting/deployment platforms for front‐end assets (e.g., AWS CloudFront/S3, Vercel, Netlify). Benefits at IntelliBee Long‐Term Stability: Join ...

awareness in Azure (although we will consider other Cloud knowledge)Worked in a team with GitOps frameworkGood understanding of Microsoft SQL and Database deploymentsCore containerisation knowledgeStrong experience with automated deployment tools.My client is growing rapidly as they expand the audience for their products. I am looking for someone ...

Ability to design, deploy, and operate production-grade AI systems with focus on reliability, scalability, and performance.Cloud and infrastructure platforms and tools, including deployment, containerization, and CI/CD practices.Monitoring and observability tools, multi-agent orchestration tools, monorepo technologiesStrong inter-personal skills and ability to collaborate with cross-functional teams ...

them to solution design. Extensive experience across the Microsoft ecosystem, including Microsoft 365, Azure and Power Platform. Strong understanding of cloud architecture, Azure services, containerisation, microservices, serverless technologies and networking design patterns. Experience designing ERP, CRM, CMS and enterprise integration solutions, with a strong understanding of API-first and service ...

them to solution design. Extensive experience across the Microsoft ecosystem, including Microsoft 365, Azure and Power Platform. Strong understanding of cloud architecture, Azure services, containerisation, microservices, serverless technologies and networking design patterns. Experience designing ERP, CRM, CMS and enterprise integration solutions, with a strong understanding of API-first and service ...

model parallelism, or enthusiasm to deepen your knowledge in this areaA solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, with exposure to MLOps practices and toolingComfortable providing technical guidance, mentoring and support to a small number of less‐experienced engineersEnjoy collaborating across teams ...

development lifecycle (SDLC). Threat Modelling - Kill Chain - Attack tree analysis. Working understanding of: Cloud security including Azure, Amazon Web Service, Key Management Systems, Containerisation, Network Security Groups, Host based firewalls, Web Application Firewalls Physical Network Infrastructure, Anti-Patterns, Network Firewalls, IDS/IPS, DMZs AI use cases, secure configuration ...

development lifecycle (SDLC). Threat Modelling - Kill Chain - Attack tree analysis. Working understanding of: Cloud security including Azure, Amazon Web Service, Key Management Systems, Containerisation, Network Security Groups, Host based firewalls, Web Application Firewalls Physical Network Infrastructure, Anti-Patterns, Network Firewalls, IDS/IPS, DMZs AI use cases, secure configuration ...

Python with backend and API development skills.Expertise in GenAI systems: RAG, prompt engineering, LLM integration, and agentic workflows.Cloud and infrastructure knowledge, including deployment, containerization, and CI/CD practices.Understanding of machine learning fundamentals, including model behavior, evaluation and testing.Demonstrated ability to design, deploy, and operate production-grade AI systems with ...

development lifecycle (SDLC). Threat Modelling - Kill Chain - Attack tree analysis. Working understanding of: Cloud security including Azure, Amazon Web Service, Key Management Systems, Containerisation, Network Security Groups, Host based firewalls, Web Application Firewalls Physical Network Infrastructure, Anti-Patterns, Network Firewalls, IDS/IPS, DMZs AI use cases, secure configuration ...

years of experience with cloud native architecture in a customer-facing or support role. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Preferred qualifications ...

software systems using sound architectural principles and design patterns Diagnose, debug, and resolve complex technical issues efficiently Work confidently with REST APIs, microservices, and containerization technologies Champion test-driven development (TDD) to ensure code quality and reliability Take initiative with a proactive, self-motivated approach to problem-solving and delivery ...

experience across C#/.NET and SQL Server and API's, alongside an understanding of how systems integrate and handle complex data. Exposure to containerisation (Docker) and modern DevOps practices will also be important. Experience working in reverse engineering of existing applications, transformation programmes, modernisation initiatives or environments with limited ...

commitment to clean, reproducible, well-documented code.Experience with workflow tools (e.g. Nextflow), version control (Git), and HPC or cloud compute environments.Nice to have: containerisation (Docker/Singularity), distributed computing frameworks, machine learning applied to genomics, or contributions to open-source scientific software.Confident in engaging with a variety of stakeholders, contributing ...

globally distributed edge sites and the resilient networks connecting them. You will work across the full technology stack, from hardware and networking through to containerisation, balancing day-to-day operational support with project work. You will also help develop automation tools and deployment pipelines to keep our platforms secure, consistent ...

deployment playbooks, talent development frameworks, and the capability architecture that the practice is built on Qualification Significantengineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Deepexpertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Considerable experience with AI platforms - OpenAI, Claude, Vertex ...

Context Protocol (MCP), including server and tool patterns. FastAPI and REST API design and implementation experience. Experience with prompt engineering and RAG‐based architectures. Containerisation and Kubernetes‐based deployment experience. Ability to work across platform, product, and governance boundaries in an enterprise environment. Career Stage: Manager London Stock Exchange Group ...

workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT‐LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer‐facing role, able to communicate clearly with ML and infrastructure engineering teams Comfortable working in a fast ...

software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIsDeep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc.Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers)Proficiency in a systems programming language such as Go, Rust, or C/C++A track ...

meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc. Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers) Proficiency in a systems programming language such as Go, Rust, or C/C++ ...

collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders. • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. • Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences. ...

knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders.Deploy and Scale AI SolutionsDrive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes.Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments.Work with engineers to support ...

providing guidance to cross-functional teams including digital, platform, and governance stakeholders. Deploy and Scale AI SolutionsExecute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers ...

providing guidance to cross-functional teams including digital, platform, and governance stakeholders. Deploy and Scale AI SolutionsExecute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers ...

PyTorch, scikit-learn, or Apache Spark.• Proficiency in data preprocessing, feature engineering, and model evaluation.• Knowledge of ML model deployment and serving strategies, including containerization and microservices.• Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring.• Ability to optimize and fine-tune ML models for performance and accuracy. … complex issues in AI/ML systemsTechnical Insight• Skills with MLOps concepts and principles• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes).• Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps ...